The deep learning approaches have evolved into image processing and pattern recognition applications. In face recognition methods, FaceNet embeddings displayed a good image representation for facial features [1]}. This is a deep face recognition approach that adapted the ideas from [2]}. In this work, we have used the pretrained model on the VGGFace2 dataset using Inception ResNet v1. This model displayed accuracy of 99.65% on the Labeled Faces in the Wild (LFW) dataset [3]}. We have obtained FaceNet embeddings FaceNet: https://github.com/davidsandberg/facenet for face detected images in our dataset and used cosine distance between the samples to obtain the verification scores.
